Daria Malafeeva

• Build a Python/Flask web tool for automated GNSS data recording and scheduling, solving the „pesticide paradox” by ensuring fresh datasets for reliable regressions testing. • Analyzed system requirements and created test cases with strict 1:1 traceability, preventing inconsistencies. • Set up a bridge between the tested embedded C library and the Python test framework, enabling direct API validation. • Introduced unit testing at the PoC stage and improved early code quality.

• Developed Python autotests for 2 RTK-based orientation detection algorithms, deriving cases directly from functional documentation. • Automated validation of NMEA protocol format, reducing manual execution time from 3+ hours to under a few minutes per run. • Parsed binary GNSS data with Python, analyzed product behavior and worked together with firmware developers to identify bugs.

• Automated generation of 20+ page GNSS test reports (KPI, measurements, plots) with Python, reducing manual work by ~1 day per report. • Developed Python-based autotests to verify navigation parameters using GNSS simulator and receiver data. • Developed Python scripts to parse binary simulator logs and reduce routine checks in manual analysis. • Performed manual firmware testing and manipulated hardware equipment – signals simulators, power sources, GNSS receivers.